Observational Study
Copyright ©The Author(s) 2022.
World J Crit Care Med. Mar 9, 2022; 11(2): 102-111
Published online Mar 9, 2022. doi: 10.5492/wjccm.v11.i2.102
Table 1 Baseline characteristics and their distribution to latitude and altitudes
Variables
Total (n = 22108)
Latitude
Altitude
0-15° (n = 589)
16-30° (n = 1961)
31-45° (n = 19163)
46-60° (n = 395)
< 500 MASL (n = 21122)
500 - 1000 MASL (n = 765)
> 1000 MASL (n = 221)
Age, median, IQR 62 (49-74)50 (36-62)59 (47-70)62 (49-74)72 (59-83)62 (59-74)58 (46-69)60 (49-71)
Gender
Female 9804 (44%)198 (34%)797 (41%)8626 (46%)183 (46%)9476 (45%)255 (33%)73 (33%)
Male12025 (54%)391 (66%)1163 (59%)10259 (54%)212 (54%)11367 (55%)510 (67%)148 (67%)
Race
White11210 (51%)2 (0%)471 (24%)10449 (55%)288 (73%)10928 (52%)227 (30%)55 (25%)
African American5757 (26%)74 (13%)505 (26%)5145 (27%)33 (8%)5738 (27%)17 (2%)2 (1%)
Mixed race785 (4%)164 (28%)119 (6%)501 (3%)1 (0%)524 (2%)129 (17%)132 (60%)
Asian American416 (2%)-9 (0%)398 (2%)9 (2%)412 (2%)4 (1%)0 (0%)
Others3940 (18%)349 (59%)857 (44%)2670 (14%)61 (15%)3122 (15%)371 (48%)32 (1%)
Ethnicity
Hispanic4592 (21%)88 (15%)313 (16%)4185 (22%)6 (2%)4322 (20%)197 (26%)73 (33%)
Non-Hispanic14411 (65%)354 (60%)1250 (64%)12571 (66%)236 (60%)14073 (67%)281 (37%)57 (26%)
BMI29.0 (25, 35)26.7 (24, 28)28.0 (25, 34)29.3 (25, 35)26.7 (23, 32)29.0 (25, 35)28.6 (26, 33)28 (26, 32)
Comorbidities (any)18991 (86%)295 (50%)1580 (81%)16753 (87%)363 (92%)18262 (86%)578 (76%)151 (68%)
Hypertension10267 (46%)191 (32%)1050 (54%)8785 (46%)241 (61%)9865 (47%)322 (42%)80 (36%)
Diabetes6473 (29%)134 (23%)738 (38%)5474 (29%)127 (32%)6163 (29%)256 (33%)54 (24%)
Coronary artery disease4124 (19%)29 (5%)338 (17%)3678 (19%)79 (20%)4017 (19%)87 (11%)20 (9%)
Obesity3794 (17%)34 (6%)394 (20%)3304 (17%)62 (16%)3640 (17%)125 (16%)29 (13%)
Dyslipidemia 3521 (16%)7 (1%)315 (16%)3168 (17%)31 (8%)3422 (16%)87 (11%)12 (5%)
Chronic kidney disease2609 (12%)5 (1%)233 (12%)2295 (12%)76 (19%)2543 (12%)56 (7%)10 (5%)
Table 2 Comparison of outcomes according to latitude and altitudes
Study outcomes
Latitude





Altitude






Unadjusted


Adjusted


Unadjusted


Adjusted


Estimate95%CIP value Estimate95%CIP value Estimate95%CIP value Estimate95%CIP value
28 d mortality1.39(1.04, 1.86)0.0251.32(1.00, 1.74)0.051RCS, P value non-linearity ≤ 0.001, P value overall association = 0.001RCS, P value non-linearity = 0.049, P value overall association = 0.017
Hospital-free days-1.47(-2.60, -0.33)0.011-1.07(-2.13, -0.01)0.0500.14(-0.37, 0.64)0.5870.10(0.37, 0.56)0.683

  • Citation: Tekin A, Qamar S, Singh R, Bansal V, Sharma M, LeMahieu AM, Hanson AC, Schulte PJ, Bogojevic M, Deo N, Zec S, Valencia Morales DJ, Belden KA, Heavner SF, Kaufman M, Cheruku S, Danesh VC, Banner-Goodspeed VM, St Hill CA, Christie AB, Khan SA, Retford L, Boman K, Kumar VK, O'Horo JC, Domecq JP, Walkey AJ, Gajic O, Kashyap R, Surani S, The Society of Critical Care Medicine (SCCM) Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS): COVID-19 Registry Investigator Group. Association of latitude and altitude with adverse outcomes in patients with COVID-19: The VIRUS registry. World J Crit Care Med 2022; 11(2): 102-111
  • URL: https://www.wjgnet.com/2220-3141/full/v11/i2/102.htm
  • DOI: https://dx.doi.org/10.5492/wjccm.v11.i2.102